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» Automatic 2D Hand Tracking in Video Sequences
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FGR
2000
IEEE
157views Biometrics» more  FGR 2000»
15 years 2 months ago
Hand Gesture Recognition Using Input-Output Hidden Markov Models
A new hand gesture recognition method based on Input– Output Hidden Markov Models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted fr...
Sébastien Marcel, Olivier Bernier, Jean-Emm...
ICPR
2004
IEEE
15 years 10 months ago
Articulate Hand Motion Capturing Based on a Monte Carlo Nelder-Mead Simplex Tracker
This paper presents an algorithm for tracking the articulate hand motion in monocular video sequences. The task is challenging due to the high degrees of freedom involved in the h...
John Lin, Thomas S. Huang, Ying Wu
BMVC
2000
14 years 11 months ago
A Hierarchical Model of Dynamics for Tracking People with a Single Video Camera
We propose a novel hierarchical model of human dynamics for view independent tracking of the human body in monocular video sequences. The model is trained using real data from a c...
I. A. Karaulova, Peter M. Hall, A. David Marshall
77
Voted
NIPS
2000
14 years 11 months ago
Keeping Flexible Active Contours on Track using Metropolis Updates
Condensation, a form of likelihood-weighted particle filtering, has been successfully used to infer the shapes of highly constrained "active" contours in video sequences...
Trausti T. Kristjansson, Brendan J. Frey
TCSV
2002
124views more  TCSV 2002»
14 years 9 months ago
Fast and automatic video object segmentation and tracking for content-based applications
The new video-coding standard MPEG-4 enables content-based functionality, as well as high coding efficiency, by taking into account shape information of moving objects. A novel alg...
Changick Kim, Jenq-Neng Hwang